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<p>AI-102</p><p>Exam Name: Designing and Implementing a Microsoft</p><p>Azure AI Solution</p><p>Full version: 307 Q&As</p><p>Full version of AI-102 Dumps</p><p>Share some AI-102 exam dumps below.</p><p>1. You have a 20-GB file named file1, avi that is stored on a local drive.</p><p>You need to index file1, avi by using the Azure Video indexer website.</p><p>What should you do first?</p><p>A. Upload File1 avi to an Azure storage queue.</p><p>1 / 37</p><p>https://www.certqueen.com/AI-102.html</p><p>B. upload File1.avi to the www.youtube.com seepage</p><p>C. Upload file1 avi to the Azure video indexer website.</p><p>D. Upload file1 avi to Microsoft OneDrive.</p><p>Answer: D</p><p>Explanation:</p><p>This is because the Azure Video Indexer website allows you to upload videos from a URL or</p><p>from your file system, but there are some limitations and considerations for each option1.</p><p>If you upload from your file system, the size of the file is limited to 2 GB, which is less than the</p><p>size of file1.avi (20 GB). Therefore, this option is not feasible.</p><p>If you upload from a URL, the size of the file is limited to 30 GB, which is enough for file1.avi.</p><p>However, the URL must be publicly accessible and valid, and the file must be accessible. You</p><p>cannot use URLs from streaming services such as YouTube1. Therefore, options A and B are</p><p>not valid.</p><p>The best option is to upload file1.avi to a cloud storage service such as Microsoft OneDrive, and</p><p>then generate a shareable link for the file. You can then paste the link in the Azure Video</p><p>Indexer website and upload the video from the URL. This way, you can avoid the file size</p><p>limitation and ensure that the file is accessible and valid2.</p><p>2. What is the primary purpose of a data warehouse?</p><p>A. to provide storage for transactional line-of-business (LOB) applications</p><p>B. to provide transformation services between source and target data stores</p><p>C. to provide read only storage of relational and non relational historical data</p><p>D. to provide answers to complex queries that rely on data from multiple sources</p><p>Answer: C</p><p>3. You are examining the Language service output of an application.</p><p>The text analyzed is: Our tour guide took us up the Space Needle during our trip to Seattle last</p><p>week.</p><p>The response contains the data shown in the following table.</p><p>2 / 37</p><p>Which Language service API is used 10 analyze the Text?</p><p>A. Entity Linking</p><p>B. Named Entity Recognition</p><p>C. Key Phrase Extraction</p><p>D. Sentiment Analysis</p><p>Answer: B</p><p>4. You have a SQL query that combines customer data and order data. The query includes</p><p>calculated columns. You need to create a database object that would allow other users to rerun</p><p>the same SOL query.</p><p>What should you create?</p><p>A. an Index</p><p>B. a view</p><p>C. a scalar function</p><p>D. a table</p><p>Answer: B</p><p>5. HOTSPOT</p><p>You are building a chatbot for a Microsoft Teams channel by using the Microsoft Bot Framework</p><p>SDK.</p><p>The chatbot will use the following code.</p><p>For each of the following statements, select Yes if the statement is true. Otherwise, select No.</p><p>NOTE: Each correct selection is worth one point.</p><p>3 / 37</p><p>Answer:</p><p>Explanation:</p><p>Box 1: Yes</p><p>The ActivityHandler.OnMembersAddedAsync method overrides this in a derived class to</p><p>provide logic for when members other than the bot join the conversation, such as your bot's</p><p>welcome logic.</p><p>Box 2: Yes</p><p>membersAdded is a list of all the members added to the conversation, as described by the</p><p>conversation update activity.</p><p>Box 3: No</p><p>Reference: https://docs.microsoft.com/en-us/dotnet/api/microsoft.bot.builder.activityhandler.onm</p><p>embersaddedasync?view=botbuilder-dotnet-stable</p><p>6. You have an Azure subscription that contains an Anomaly Detector resource. You deploy a</p><p>Docker host server named Server 1 to the on-premises network. You need to host an instance</p><p>of the Anomaly Detector service on Server 1.</p><p>Which parameter should you include in the docker run command?</p><p>A. Fluentd</p><p>B. Billing</p><p>C. Http Proxy</p><p>4 / 37</p><p>D. Mounts</p><p>Answer: B</p><p>7. You are building a chatbot.</p><p>You need to configure the chatbot to query a knowledge base.</p><p>Which dialog class should you use?</p><p>A. AdaptiveDialog</p><p>B. QnAMakerDialog</p><p>C. ComponentDialog</p><p>D. SkillDialog</p><p>Answer: B</p><p>8. DRAG DROP</p><p>You are developing a solution for the Management-Bookkeepers group to meet the document</p><p>processing requirements.</p><p>The solution must contain the following components:</p><p>A From Recognizer resource</p><p>An Azure web app that hosts the Form Recognizer sample labeling tool</p><p>The Management-Bookkeepers group needs to create a custom table extractor by using the</p><p>sample labeling tool.</p><p>Which three actions should the Management-Bookkeepers group perform in sequence? To</p><p>answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange</p><p>them in the correct order.</p><p>Answer:</p><p>5 / 37</p><p>Explanation:</p><p>Step 1: Create a new project and load sample documents</p><p>Create a new project. Projects store your configurations and settings.</p><p>Step 2: Label the sample documents</p><p>When you create or open a project, the main tag editor window opens.</p><p>Step 3: Train a custom model.</p><p>Finally, train a custom model.</p><p>Reference: https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-</p><p>tool</p><p>9. You need to measure the public perception of your brand on social media by using natural</p><p>language processing.</p><p>Which Azure service should you use?</p><p>A. Content Moderator</p><p>B. Form Recognizer</p><p>C. Computer Vision</p><p>D. Language service</p><p>Answer: D</p><p>10. Download Alterations Generate Answer</p><p>Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-</p><p>based-access-control</p><p>11. Add new members to roles.</p><p>12. Note: This question is part of a series of questions that present the same scenario. Each</p><p>question in the series contains a unique solution that might meet the stated goals. Some</p><p>question sets might have more than one correct solution, while others might not have a correct</p><p>solution.</p><p>6 / 37</p><p>After you answer a question in this section, you will NOT be able to return to it. As a result,</p><p>these questions will not appear in the review screen.</p><p>You build a language model by using a Language Understanding service. The language model</p><p>is used to search for information on a contact list by using an intent named FindContact.</p><p>A conversational expert provides you with the following list of phrases to use for training.</p><p>Find contacts in London.</p><p>Who do I know in Seattle? Search for contacts in Ukraine.</p><p>You need to implement the phrase list in Language Understanding.</p><p>Solution: You create a new entity for the domain.</p><p>Does this meet the goal?</p><p>A. Yes</p><p>B. No</p><p>Answer: B</p><p>Explanation:</p><p>Instead use a new intent for location.</p><p>Note: An intent represents a task or action the user wants to perform. It is a purpose or goal</p><p>expressed in a user's utterance.</p><p>Define a set of intents that corresponds to actions users want to take in your application.</p><p>Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent</p><p>13. HOTSPOT</p><p>Select the answer that correctly completes the sentence.</p><p>Answer:</p><p>7 / 37</p><p>14. HOTSPOT</p><p>You build a QnA Maker resource to meet the chatbot requirements.</p><p>Which RBAC role should you assign to each group? To answer, select the appropriate options</p><p>in the answer area. NOTE: Each correct selection is worth one point.</p><p>Answer:</p><p>8 / 37</p><p>Explanation:</p><p>Box 1: Cognitive Service User</p><p>Ensure that the members of a group named Management-Accountants can approve the FAQs.</p><p>Approve=publish.</p><p>Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services</p><p>resource except for ability to:</p><p>15. You are building a bot by using Microsoft Bot Framework.</p><p>You need to configure the bot to respond to spoken requests. The solution must minimize</p><p>development effort.</p><p>What should you do?</p><p>A. Deploy the bot to Azure and register the bot with a Direct</p><p>Une Speech channel</p><p>B. Integrate the bot with Cortana by using the Bot Framework SDK.</p><p>C. Create an Azure function that will call the Speech service and connect the bot to the function.</p><p>D. Deploy the bot to Azure and register the bot with a Microsoft Teams channel.</p><p>Answer: B</p><p>16. You have an Azure subscription that contains an Azure Al Document Intelligence resource</p><p>9 / 37</p><p>named Aldoc1 in the SO tier.</p><p>You have the lies shown in the following table.</p><p>You need to train a custom extraction model by using AIdoc1.</p><p>Which files can you upload to Document Intelligence Studio?</p><p>A. File1, and File2 only</p><p>B. File2, File4, and File5 only</p><p>C. File1, File2, and File4 only</p><p>D. File1, and File5 only</p><p>E. File1, File2. File3, File4, and File5</p><p>Answer: C</p><p>17. You are developing the document processing workflow.</p><p>You need to identify which API endpoints to use to extract text from the financial documents.</p><p>The solution must meet the document processing requirements.</p><p>Which two API endpoints should you identify? Each correct answer presents part of the</p><p>solution. NOTE: Each correct selection is worth one point.</p><p>A. /vision/v3.2/read/analyzeResults</p><p>B. /formrecognizer/v2.0/prebuilt/receipt/analyze</p><p>C. /vision/v3.2/read/analyze</p><p>D. /vision/v3.2/describe</p><p>E. /formercognizer/v2.0/custom/models{modelId}/ analyze</p><p>Answer: BC</p><p>Explanation:</p><p>C: Analyze Receipt - Get Analyze Receipt Result.</p><p>Query the status and retrieve the result of an Analyze Receipt operation. Request URL:</p><p>https://{endpoint}/formrecognizer/v2.0-preview/prebuilt/receipt/analyzeResults/{resultId}</p><p>E: POST {Endpoint}/vision/v3.2/read/analyze</p><p>10 / 37</p><p>Use this interface to get the result of a Read operation, employing the state-of-the-art Optical</p><p>Character Recognition (OCR) algorithms optimized for text-heavy documents.</p><p>Scenario: Contoso plans to develop a document processing workflow to extract information</p><p>automatically from PDFs and images of financial documents</p><p>The document processing solution must be able to process standardized financial documents</p><p>that have the following characteristics:</p><p>- Contain fewer than 20 pages.</p><p>- Be formatted as PDF or JPEG files.</p><p>- Have a distinct standard for each office.</p><p>*The document processing solution must be able to extract tables and text from the financial</p><p>documents.</p><p>The document processing solution must be able to extract information from receipt images.</p><p>Reference:</p><p>https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-</p><p>v2-preview/operations/GetAnalyzeReceiptResult</p><p>https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read</p><p>18. HOTSPOT</p><p>You are building a chatbot.</p><p>You need to use the Content Moderator service to identify messages that contain sexually</p><p>explicit language.</p><p>Which section in the response from the service will contain the category score, and which</p><p>category will be assigned to the message? To answer, select the appropriate options in the</p><p>answer area, NOTE: Each correct selection is worth one point.</p><p>11 / 37</p><p>Answer:</p><p>19. You use the Custom Vision service to build a classifier.</p><p>After training is complete, you need to evaluate the classifier.</p><p>Which two metrics are available for review? Each correct answer presents a complete solution.</p><p>NOTE: Each correct selection is worth one point. (Choose two.)</p><p>A. recall</p><p>12 / 37</p><p>B. F-score</p><p>C. weighted accuracy</p><p>D. precision</p><p>E. area under the curve (AUC)</p><p>Answer: AD</p><p>Explanation:</p><p>Custom Vision provides three metrics regarding the performance of your model: precision,</p><p>recall, and AP.</p><p>Reference: https://www.tallan.com/blog/2020/05/19/azure-custom-vision/</p><p>20. You are building a Language Understanding model for an e-commerce platform. You need</p><p>to construct an entity to capture billing addresses.</p><p>Which entity type should you use for the billing address?</p><p>A. machine learned</p><p>B. Regex</p><p>C. geographyV2</p><p>D. Pattern.any</p><p>E. list</p><p>Answer: A</p><p>Explanation:</p><p>An ML entity can be composed of smaller sub-entities, each of which can have its own</p><p>properties.</p><p>For example, Address could have the following structure:</p><p>Address: 4567 Main Street, NY, 98052, USA</p><p>Building Number: 4567</p><p>Street Name: Main Street</p><p>State: NY</p><p>Zip Code: 98052</p><p>Country: USA</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types</p><p>21. HOTSPOT</p><p>You have a chatbot that uses Azure OpenAI to generate responses.</p><p>You need to upload company data by using Chat playground. The solution must ensure that the</p><p>chatbot uses the data to answer user questions.</p><p>How should you complete the code? To answer, select the appropriate options in the answer</p><p>13 / 37</p><p>area. NOTE: Each correct selection is worth one point.</p><p>Answer:</p><p>22. Publish</p><p>14 / 37</p><p>23. api-nam.cognitive.microsofttranslator.com</p><p>24. You build a Language Understanding model by using the Language Understanding portal.</p><p>You export the model as a JSON file as shown in the following sample.</p><p>To what does the Weather.Historic entity correspond in the utterance?</p><p>A. by month</p><p>B. chicago</p><p>C. rain</p><p>D. location</p><p>Answer: A</p><p>25. HOTSPOT</p><p>Select the answer that correctly completes the sentence.</p><p>15 / 37</p><p>Answer:</p><p>26. What is used to define a query in a stream processing jobs in Azure Stream Analytics?</p><p>A. SQL</p><p>B. XML</p><p>C. YAML</p><p>D. KOL</p><p>Answer: A</p><p>27. HOTSPOT</p><p>You are building a chatbot.</p><p>You need to use the Content Moderator API to identify aggressive and sexually explicit</p><p>language.</p><p>Which three settings should you configure? To answer, select the appropriate settings in the</p><p>answer area. NOTE: Each correct selection is worth one point.</p><p>16 / 37</p><p>Answer:</p><p>17 / 37</p><p>28. Your company has a repotting solution that has paginated reports. The reports query a</p><p>dimensional model in a data warehouse.</p><p>Which type of processing does the reporting solution use?</p><p>A. Online Transaction Processing (OLTP)</p><p>B. Online Analytical Processing (OLAP)</p><p>C. batch processing</p><p>D. stream processing</p><p>Answer: B</p><p>29. HOTSPOT</p><p>You are developing the shopping on-the-go project.</p><p>18 / 37</p><p>You need to build the Adaptive Card for the chatbot.</p><p>How should you complete the code? To answer, select the appropriate options in the answer</p><p>area. NOTE: Each correct selection is worth one point.</p><p>19 / 37</p><p>Answer:</p><p>20 / 37</p><p>Explanation:</p><p>Box 1: name.en</p><p>Box 2: "$when": "${stockLevel != 'OK'}"</p><p>Product displays must include images and warnings when stock levels are low or out of stock.</p><p>Box 3: image.altText.en</p><p>30. You have an Azure OpenAI model named All.</p><p>You are building a web app named App1 by using the Azure OpenAI SDK. You need to</p><p>configure App1 to connect to All.</p><p>What information must you provide?</p><p>A. the endpoint, key, and model name</p><p>B. the deployment name, endpoint. and key</p><p>C. the endpoint, key, and model type</p><p>D. the deployment name, key, and model name</p><p>Answer: B</p><p>31. You are developing a solution to generate a word cloud based on the reviews of a</p><p>company’s products.</p><p>Which Text Analytics REST API endpoint should you use?</p><p>A. keyPhrases</p><p>B. sentiment</p><p>C. languages</p><p>D. entities/recognition/general</p><p>Answer: A</p><p>Explanation:</p><p>Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview</p><p>32. HOTSPOT</p><p>You have an Azure subscription.</p><p>You need to deploy an Azure Al Document Intelligence resource.</p><p>How should you complete the Azure Resource Manager (ARM) template? To answer, select the</p><p>appropriate options in the answer area. NOTE: Each correct selection is worth one point.</p><p>21 / 37</p><p>Answer:</p><p>22 / 37</p><p>33. DRAG DROP</p><p>You are developing a call to the Face API. The call must find similar faces from an existing list</p><p>named employeefaces. The employeefaces list contains 60,000 images.</p><p>How should you complete the body of the HTTP request? To answer, drag the appropriate</p><p>values to the correct targets. Each value may be used once, more than once, or not at all. You</p><p>may need to drag the split bar between panes or scroll to view content. NOTE: Each correct</p><p>selection is worth one point.</p><p>23 / 37</p><p>Answer:</p><p>Explanation:</p><p>Box 1: LargeFaceListID</p><p>LargeFaceList: Add a face to a specified large face list, up to 1,000,000 faces.</p><p>Note: Given query face's faceId, to search the similar-looking faces from a faceId array, a face</p><p>list or a large face list. A "faceListId" is created by FaceList - Create containing persistedFaceIds</p><p>that will not expire. And a "largeFaceListId" is created by LargeFaceList - Create containing</p><p>persistedFaceIds that will also not expire.</p><p>Incorrect Answers:</p><p>Not "faceListId": Add a face to a specified face list, up to 1,000 faces.</p><p>Box 2: matchFace</p><p>Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the</p><p>default mode that it tries to find faces of the same person as possible by using internal same-</p><p>person thresholds. It is useful to find a known person's other photos. Note that an empty list will</p><p>be returned if no faces pass the internal thresholds. "matchFace" mode ignores same-person</p><p>thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in</p><p>the cases like searching celebrity-looking faces.</p><p>Reference: https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar</p><p>34. DRAG DROP</p><p>24 / 37</p><p>You need to develop an automated call handling system that can respond to callers in their own</p><p>language. The system will support only French and English.</p><p>Which Azure Cognitive Services service should you use to meet each requirement? To answer,</p><p>drag the appropriate services to the correct requirements. Each service may be used once,</p><p>more than once, or not at all. You may need to drag the split bat between panes or scroll to view</p><p>content. NOTE: Each correct selection is worth one point.</p><p>Answer:</p><p>Explanation:</p><p>Box 1: Text Analytics</p><p>The Language Detection feature of the Azure Text Analytics REST API evaluates text input for</p><p>each document and returns language identifiers with a score that indicates the strength of the</p><p>25 / 37</p><p>analysis.</p><p>Box 2: Translator</p><p>Translator is a cloud-based neural machine translation service that is part of the Azure</p><p>Cognitive Services family of REST APIs. Translator can be used with any operating system and</p><p>powers many Microsoft products and services used by thousands of businesses worldwide to</p><p>perform language translation and other language-related operations.</p><p>Reference:</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-</p><p>how-to-language-detection</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview</p><p>35. DRAG DROP</p><p>You are building a Language Understanding model for purchasing tickets.</p><p>You have the following utterance for an intent named PurchaseAndSendTickets.</p><p>Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to</p><p>[email@domain.com]</p><p>You need to select the entity types. The solution must use built-in entity types to minimize</p><p>training data whenever possible.</p><p>Which entity type should you use for each label? To answer, drag the appropriate entity types to</p><p>the correct labels. Each entity type may be used once, more than once, or not at all.</p><p>You may need to drag the split bar between panes or scroll to view content.</p><p>26 / 37</p><p>Answer:</p><p>Explanation:</p><p>Box 1: GeographyV2</p><p>The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do</p><p>not need to add example utterances containing GeographyV2 to the application intents.</p><p>Box 2: Email</p><p>Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an</p><p>utterance. Because this entity is already trained, you do not need to add example utterances</p><p>containing email to the application intents.</p><p>Box 3: Machine learned</p><p>The machine-learning entity is the preferred entity for building LUIS applications.</p><p>Reference:</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-</p><p>geographyv2</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email</p><p>https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-</p><p>entity</p><p>36. Authorization: EndpointKey <your-endpoint-key></p><p>Reference: https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-qna</p><p>27 / 37</p><p>37. HOTSPOT</p><p>For each of the following statements, select Yes if the statement is true. Otherwise, select No.</p><p>NOTE: Each correct selection is worth one point.</p><p>Answer:</p><p>38. You have an Azure DevOps pipeline named Pipeline1 that is used to deploy an app.</p><p>Pipeline1 includes a step that will create an Azure AI services account.</p><p>You need to add a step to Pipeline1 that will identify the created Azure AI services account. The</p><p>solution must minimize development effort.</p><p>Which Azure Command-Line interface (CLI) command should you run?</p><p>A. Az resource link</p><p>B. Az account list</p><p>C. Az cognitivesservices account network-rule</p><p>D. As cognitiveservices account show</p><p>Answer: D</p><p>39. HOTSPOT</p><p>You build a chatbot by using Azure OpenAI Studio.</p><p>28 / 37</p><p>You need to ensure that the responses are more deterministic and less creative.</p><p>Which two parameters should you configure? To answer, select the appropriate parameters in</p><p>the answer area. NOTE: Each correct answer is worth one point.</p><p>Answer:</p><p>29 / 37</p><p>40. DRAG DROP</p><p>You have a Language Understanding solution that runs in a Docker container.</p><p>You download the Language Understanding container image from the Microsoft Container</p><p>Registry (MCR).</p><p>You need to deploy the container image to a host computer.</p><p>Which three actions should you perform in sequence? To answer, move the appropriate actions</p><p>from the list of actions to the answer area and arrange them in the correct order.</p><p>30 / 37</p><p>Answer:</p><p>41. You are building a Language Understanding model for an e-commerce chatbot. Users can</p><p>speak or type their billing address when prompted by the chatbot.</p><p>You need to construct an entity to capture billing addresses.</p><p>Which entity type should you use?</p><p>A. machine learned</p><p>B. Regex</p><p>C. list</p><p>D. Pattern.any</p><p>Answer: B</p><p>Explanation:</p><p>Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-</p><p>types</p><p>ML Entity with Structure</p><p>An ML entity can be composed of smaller sub-entities, each of which can have its own</p><p>properties.</p><p>For example, Address could have the following structure:</p><p>Address: 4567 Main Street, NY, 98052, USA</p><p>Building Number: 4567</p><p>Street Name: Main Street</p><p>State: NY</p><p>Zip Code: 98052</p><p>Country: USA</p><p>42. Note: This question is part of a series of questions that present the same scenario. Each</p><p>question in the series contains a unique solution that might meet the stated goals. Some</p><p>question sets might have more than one correct solution, while others might not have a correct</p><p>solution.</p><p>31 / 37</p><p>After you answer a question in this section, you will NOT be able to return to it. As a result,</p><p>these questions will not appear in the review screen.</p><p>You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is</p><p>on an Azure virtual network named vnet1.</p><p>You plan to create a new Azure Cognitive Search service named service1.</p><p>You need to ensure that app1 can connect directly to service1 without routing traffic over the</p><p>public internet.</p><p>Solution: You deploy service1 and a public endpoint, and you configure a network security</p><p>group (NSG) for vnet1.</p><p>Does this meet the goal?</p><p>A. Yes</p><p>B. No</p><p>Answer: A</p><p>Explanation:</p><p>https://docs.microsoft.com/en-us/azure/virtual-network/network-security-groups-</p><p>overview#network-security-groups</p><p>https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview</p><p>43. You have a Language service resource that performs the following:</p><p>• Sentiment analysis</p><p>• Named Entity Recognition (NER)</p><p>• Personally Identifiable Information (Pll) identification</p><p>You need to prevent the resource from persisting input data once the data is analyzed.</p><p>Which query parameter in the Language service API should you configure?</p><p>A. loggingOptOut</p><p>B. piiCategories</p><p>C. showStats</p><p>D. Model-version</p><p>Answer: A</p><p>44. HOTSPOT</p><p>Select the answer that correctly completes the sentence.</p><p>32 / 37</p><p>Answer:</p><p>45. You have an Azure subscription that contain an Azure OpenAI resource named AI1.</p><p>You build a chatbot that uses AI1 to provide generation answers to specific questions.</p><p>You need to ensure that the chatbot checks all input output for objectionable content.</p><p>Which types of resource should you create first?</p><p>A. Azure Machine Learning</p><p>B. Log Analytics</p><p>C. Azure AI Content Safety</p><p>D. Microsoft Defender Threat intelligence (Defender TI)</p><p>Answer: C</p><p>46. Replace Alterations</p><p>47. You have a custom Azure OpenAI model.</p><p>You have the files shown in the following table.</p><p>You need to prepare training data for the model by using the OpenAI CLI data preparation tool.</p><p>Which files can you upload to the tool?</p><p>A. Filel.tsvonly</p><p>33 / 37</p><p>B. File2.xml only</p><p>C. File3.pdf only</p><p>D. File4.xlsx only</p><p>E. File1.tsv and File4.xslx only</p><p>F. File1.tsv.File2.xml and File4.xslx only</p><p>G. File1.tsv, File2.xml, Fil3.pdf and File4.xslx</p><p>Answer: A</p><p>48. HOTSPOT</p><p>You have an Azure subscription that contains an Azure Al Document Intelligence resource</p><p>named DM.</p><p>You build an app named App1 that analyzes PDF files for handwritten content by using DM.</p><p>You need to ensure that App1 will recognize the handwritten content.</p><p>How should you complete the code? To answer, select the appropriate options in the answer</p><p>area. NOTE: Each correct selection is worth one point.</p><p>Answer:</p><p>34 / 37</p><p>49. You are building a Chatbot by using the Microsoft Bot Framework SDK. The bot will be used</p><p>to accept food orders from customers and allow the customers to customize each food item.</p><p>You need to configure the bot to ask the user for additional input based on the type of item</p><p>ordered. The solution must minimize development effort.</p><p>Which two types of dialogs should you use? Each correct answer presents part of the solution.</p><p>NOTE: Each correct selection is worth one point.</p><p>A. adaptive</p><p>B. action</p><p>C. waterfall</p><p>D. prompt</p><p>E. input</p><p>Answer: B, C</p><p>50. You are training a Language Understanding model for a user support system.</p><p>You create the first intent named GetContactDetails and add 200 examples.</p><p>You need to decrease the likelihood of a false positive.</p><p>What should you do?</p><p>A. Enable active learning.</p><p>B. Add a machine learned entity.</p><p>C. Add additional examples to the GetContactDetails intent.</p><p>D. Add examples to the None intent.</p><p>35 / 37</p><p>Answer: A</p><p>Explanation:</p><p>Active learning is a technique of machine learning in which the machine learned model is used</p><p>to identify informative new examples to label. In LUIS, active learning refers to adding</p><p>utterances from the endpoint traffic whose current predictions are unclear to improve your</p><p>model.</p><p>Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-glossary</p><p>51. You are developing a new sales system that will process the video and text from a public-</p><p>facing website.</p><p>You plan to notify users that their data has been processed by the sales system.</p><p>Which responsible AI principle does this help meet?</p><p>A. transparency</p><p>B. fairness</p><p>C. inclusiveness</p><p>D. reliability and safety</p><p>Answer: D</p><p>Explanation:</p><p>"When an AI application relies on personal data, such as a facial recognition system that takes</p><p>images of people to recognize them; you should make it clear to the user how their data is used</p><p>and retained, and who has access to it." from: https://docs.microsoft.com/en-</p><p>us/learn/paths/prepare-for-ai-engineering/</p><p>36 / 37</p><p>More Hot Exams are available.</p><p>350-401 ENCOR Exam Dumps</p><p>350-801 CLCOR Exam Dumps</p><p>200-301 CCNA Exam Dumps</p><p>Powered by TCPDF (www.tcpdf.org)</p><p>37 / 37</p><p>https://www.certqueen.com/promotion.asp</p><p>https://www.certqueen.com/350-401.html</p><p>https://www.certqueen.com/350-801.html</p><p>https://www.certqueen.com/200-301.html</p><p>http://www.tcpdf.org</p>